Analysis of Variance By Krista J. Allen Statistical Techniques Twenty-two points, plus triple-word-score, plus fifty points for using all my letters. Game's over. I'm outta here.April 12, 2001 Abstract The following paper contains null and alternative hypotheses for categorical and continuous variables. The variables will be analyzed using Analysis of Variance to determine if a significant difference exist. The data was taken from the "General Social Survey of 1993", which is a database of responses provided by random American citizens. Introduction The objective of comparing continuous variables to categorical variables is to show if a significant difference exist between the two. Age of Respondent and Highest Year of School are two continuous variables that can be compared to various categorical variables. The following categorical variables presented below will be used to determine whether or not age and education are significantly related to them. Age of Respondent and Highest Year of School Vs. Blues and R&B Age Categories Rap Music Religious Preference Voting in 1992 Election Method The method used to analyze continuous and categorical variables is called analysis of variance or ANOVA. ANOVA is the appropriate inferential statistic model to use when at least one variable is on a continuum scale. Because continuous variables present ongoing data, an average is formed of the responses. Therefore, the true function of ANOVA, is the comparison of the variable's averages or means.
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